ML Ops Engineer

As a founding ML Ops Engineer at CoactiveAI, you will play a crucial role in designing, building, and maintaining our ML infrastructure. You will work closely with research scientists, ML Engineers, software engineers, and product managers to deploy and monitor machine learning models in production. Your expertise will ensure the robustness, scalability, and reliability of our AI solutions.

What you’ll do:

• Design and implement scalable and reliable ML pipelines.
• Automate the deployment and monitoring of ML models.
• Collaborate with ML Engineers, Applied ML Researchers and software engineers to integrate ML models into applications.
• Optimize model performance and scalability.
• Enable Research scientists with experimentation, validation and productionisation of new models.
• Monitor and troubleshoot production ML systems to ensure high availability and reliability.
• Implement and enforce best practices for ML Ops, including versioning, testing, and validation.

What we're looking for:

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in ML Ops, DevOps, or related roles.
• Strong programming skills in Python.
• Proficiency with ML frameworks such as MLFlow, TensorFlow, PyTorch, or scikit-learn.
• Hands-on experience using big data technologies such as Spark and Kafka.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Solid understanding of containerization and orchestration technologies like Docker and Kubernetes.
• Experience with data engineering and ETL processes.
• Experience of database systems, both SQL and NoSQL.
• Familiarity with CI/CD tools such as Github Actions, Jenkins, GitLab CI, or CircleCI.
• Experience with monitoring tools like Datadog, NewRelic, or similar.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration abilities.

Preferred Qualifications:

Experience with model interpretability and explainability tools.

What you can expect from us:

This is a hybrid position based in San Jose, California.

The estimated annual base salary for this position is between *$186,000-$220,000.

At Coactive, cash salary is only one part of our total compensation package. Other benefits for this position include, but are not limited to:

• Equity grants
• 100% medical, dental, & vision coverage for you
• Medical, dental, & vision partially covered for your dependents
• Unlimited PTO
• Social events ranging from book clubs, happy hours, and hiking to board game nights and games of Mario Kart.

Further, you can expect a supportive work environment from us. We build products, but we develop people. 

Join us in revolutionizing how businesses harness the power of machine learning to unlock the potential of unstructured data. If you're passionate about driving innovation and delivering unparalleled customer experiences, we'd love to have you on board.

*Actual pay is dependent on an individual candidate’s professional background, experience, skills and qualifications, as well as market demand and business demands. This pay range is subject to change and may be modified in the future. The salary, other compensation, and benefits information is accurate as of the date of this posting.